ArticleJournal of oncology2022
Characterization of Aging-Related Genes to Predict Prognosis and Evaluate the Tumor Immune Microenvironment in Malignant Melanoma.
Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Immunosenescence and cancer: molecular hallmarks, tumor microenvironment remodeling, and age-specific immunotherapy challenges.Journal of hematology & oncology · 2025Review
- A Comprehensive Multiomics Signature of Doxorubicin-Induced Cellular Senescence in the Postmenopausal Human Ovary.Aging cell · 2025Article
- A Golgi apparatus-related signature predicts the immune microenvironment and prognosis of gastric cancer.Genes and immunity · 2025Article
- Construction and evaluation of a novel prognostic risk model of aging-related genes in bladder cancer.Current urology · 2023Article
- A seven-immune-genes risk model predicts the survival and suitable treatments for patients with skin cutaneous melanoma.Heliyon · 2023Article
- Analysis and validation of aging-related genes in prognosis and immune function of glioblastoma.BMC medical genomics · 2023Article
- Identification and Validation of an Aging-Associated circRNA-miRNA-mRNA Network in Neovascular Age-Related Macular Degeneration.Gerontology · 2023Article
- Identification of several senescence-associated genes signature in head and neck squamous cell carcinoma.Journal of clinical laboratory analysis · 2022Article
- A new ferroptosis-related genetic mutation risk model predicts the prognosis of skin cutaneous melanoma.Frontiers in genetics · 2022Article
- Crosstalk of four kinds of cell deaths defines subtypes of cutaneous melanoma for precise immunotherapy and chemotherapy.Frontiers in immunology · 2022Article
- Identification and Development of an Age-Related Classification and Signature to Predict Prognosis and Immune Landscape in Osteosarcoma.Journal of oncology · 2022Article
- A novel risk model based on cuproptosis-related lncRNAs predicted prognosis and indicated immune microenvironment landscape of patients with cutaneous melanoma.Frontiers in genetics · 2022Article
- Immune-related gene signature associates with immune landscape and predicts prognosis accurately in patients with Wilms tumour.Frontiers in immunology · 2022Article
- Construction and evaluation of an aging-associated genes-based model for pancreatic adenocarcinoma prognosis and therapies.International journal of immunopathology and pharmacologyArticle
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Authors and funding
8 authors.
Funding
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Abstract
Objective: Malignant melanoma (MM) is one of the most malignant types of skin cancer and its incidence and mortality rates are increasing worldwide. Aging is well recognized as a significant risk factor for cancer. However, few studies have analyzed in depth the association between aging-related genes (AGs) and malignant melanoma prognosis with tumor immune microenvironment. Methods: Here, we downloaded 471 MM patients from The Cancer Genome Atlas (TCGA) with RNA sequence and clinicopathological data. 58 AGs from the TCGA dataset were examined using Cox regression and the LASSO assay. As a result, a gene signature for aging-related genes was created. The time-dependent ROC curve and Kaplan-Meier analysis were calculated to determine its predictive capability. Moreover, we created a nomogram for the clinicopathologic variables and the AGs gene signature to determine overall survival (OS). We also explored the association between three immune checkpoints, immune cell infiltration, and the aging-related gene signature. Results: We established an aging risk model to identify and predict the immune microenvironment in malignant melanoma. Then we developed and validated a prognosis risk model using three AGs (CSNK1E, C1QA, and SOD-2) in the GSE65904 dataset. The aging signature was positively associated with clinical and molecular characteristics and can be used as a prognostic factor for malignant melanoma. The low aging risk score was associated with a poor prognosis and indicated an immunosuppressive microenvironment. Conclusions: To summarize, we established and validated a model of aging risk based on three aging-related genes that acted as an independent prognostic predictor of overall survival. Besides, it also characterized the immune response in the malignant melanoma microenvironment and could provide a potential indicator of individualized immunotherapy in malignant melanoma.
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